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What is P vs NP? 🤔
It’s one of the biggest unsolved problems in computer science, and solving it could change the world — and win you $1,000,000.

Some problems are very hard to solve. Think about Sudoku: finding the right solution can take a lot of time and effort. But once someone gives you a completed puzzle, it’s fast and easy to check if it’s correct.

That’s the core of P vs NP:
👉 If a solution can be verified quickly, does that mean there’s also a way to find it quickly?

No one knows the answer yet. The Clay Mathematics Institute has put a $1,000,000 prize on solving it. Mathematicians, computer scientists, and programmers have been stuck on this question for decades.

If P = NP, it would mean many impossible problems become solvable. But if P ≠ NP, it means some problems will always stay hard.

This mystery lies at the heart of algorithms, cryptography, AI, and computer science itself. 🚀

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